Exposure to unmethylated CpG oligonucleotides disrupts blood pressure circadian rhythms and placental clock gene network in pregnant rats.

Autor: Bradshaw JL; Department of Pharmaceutical Sciences, University of North Texas Health Science Center, Fort Worth, Texas, United States.; Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, United States., Cushen SC; Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, United States.; Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, Texas, United States., Ricci CA; Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, United States., Tucker SM; Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, United States., Gardner JJ; Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, United States., Little JT; Department of Pharmaceutical Sciences, University of North Texas Health Science Center, Fort Worth, Texas, United States., Osikoya O; Department of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, United States., Goulopoulou S; Department of Basic Sciences, Lawrence D. Longo MD Center for Perinatal Biology, Loma Linda University, Loma Linda, California, United States.; Department of Gynecology and Obstetrics, Loma Linda University, Loma Linda, California, United States.
Jazyk: angličtina
Zdroj: American journal of physiology. Heart and circulatory physiology [Am J Physiol Heart Circ Physiol] 2023 Aug 01; Vol. 325 (2), pp. H323-H337. Date of Electronic Publication: 2023 Jun 23.
DOI: 10.1152/ajpheart.00154.2023
Abstrakt: Bacterial infections and impaired circulating mitochondrial DNA dynamics are associated with adverse pregnancy outcomes. Unmethylated cytosine-guanine dinucleotide (CpG) motifs are common in bacterial and mitochondrial DNA and act as potent immunostimulators. We tested the hypothesis that exposure to CpG oligonucleotides (ODN) during pregnancy would disrupt blood pressure circadian rhythms and placental molecular clock network, mediating aberrant fetoplacental growth dynamics. Rats were repeatedly treated with CpG ODN in the third trimester [ gestational days (GD) 14 , 16 , and 18 ] and euthanized on GD20 (near term) or treated with a single dose of CpG ODN on GD14 and euthanized 4 h after treatment. Hemodynamic circadian rhythms were analyzed via Lomb-Scargle periodogram analysis on 24-h raw data collected continuously via radiotelemetry. A P value ≥ 0.05 indicates the absence of a circadian rhythm. Following the first treatment with CpG ODN, maternal systolic and diastolic blood pressure circadian rhythms were lost ( P ≥ 0.05). Blood pressure circadian rhythm was restored by GD16 and remained unaffected after the second treatment with CpG ODN ( P < 0.0001). Diastolic blood pressure circadian rhythm was again lost after the last treatment on GD18 ( P ≥ 0.05). CpG ODN increased placental expression of Per2 , Per3, and Tnfα ( P ≤ 0.05) and affected fetoplacental growth dynamics. Reduced fetal and placental weights were disproportionately associated with increases in the number of resorptions in ODN-treated dams compared with controls. In conclusion, gestational exposure to unmethylated CpG ODN dysregulates the placental molecular clock network and fetoplacental growth dynamics and disrupts blood pressure circadian rhythms. NEW & NOTEWORTHY Gestational exposure to unmethylated CpG ODN dysregulates placental molecular clock network and fetoplacental growth dynamics and disrupts blood pressure circadian rhythms. These findings provide novel insights into the relationship between circadian rhythms and immune responses in pregnancy and propose new mechanisms by which maternal responses to immune triggers could dictate circadian rhythms of cardiovascular processes and placental clock machinery function to determine fetal growth trajectories.
Databáze: MEDLINE